This paper presents an evolutionary based approach to solve the optimal power flow (OPF) problem. For optimal settings of OPF control variables, the proposed approach utilizes Particle Swarm Optimization (PSO) algorithm. On standard IEEE 30-bus test system is observed and tested with various objective functions like voltage deviation enhancement and voltage profile improvement in this proposed approach. The outcome of IPSO-TVAC method has quality convergence attribute. Furthermore it shows the possible of the proposed approach and illustrates its usefulness and toughness to solve the OPF problem for the systems considered. The proposed approach simulation results are lesser than other optimization algorithms reported in the literature
Due to its significance in the operation of power systems, the optimal power flow (OPF) problem has ...
In this paper, a novel, effective meta-heuristic, population-based Hybrid Firefly Particle Swarm Opt...
In this paper, a novel, effective meta-heuristic, population-based Hybrid Firefly Particle Swarm Opt...
This paper presents an evolutionary based approach to solve the optimal power flow (OPF) problem. Fo...
Execution and Reliability of OPF algorithms is an important issue of research for gainful power stru...
Execution and Reliability of OPF algorithms is an important issue of research for gainful power stru...
This paper presents a particle swarm optimization (PSO) method approach to solve the optimal power f...
Voltage constrained of Optimal Power Flow (OPF) is one of several methods to minimize fuel costs whi...
Optimal power flow (OPF) is one of the key tools for optimal operation and planning of modern power ...
This paper presents an efficient and reliable evolutionary-based algorithm to solve the Optimal Powe...
Optimal Power Flow (OPF) is one of techniques used to optimize the cost of power plant production wh...
This paper compares the performance of three population-based algorithms including particle swarm op...
An enhanced particle swarm optimization algorithm (PSO) is presented in this work to solve the non-c...
Optimal power ow (OPF) problems are important optimization problems in power systems which aim to mi...
Due to its significance in the operation of power systems, the optimal power flow (OPF) problem has ...
Due to its significance in the operation of power systems, the optimal power flow (OPF) problem has ...
In this paper, a novel, effective meta-heuristic, population-based Hybrid Firefly Particle Swarm Opt...
In this paper, a novel, effective meta-heuristic, population-based Hybrid Firefly Particle Swarm Opt...
This paper presents an evolutionary based approach to solve the optimal power flow (OPF) problem. Fo...
Execution and Reliability of OPF algorithms is an important issue of research for gainful power stru...
Execution and Reliability of OPF algorithms is an important issue of research for gainful power stru...
This paper presents a particle swarm optimization (PSO) method approach to solve the optimal power f...
Voltage constrained of Optimal Power Flow (OPF) is one of several methods to minimize fuel costs whi...
Optimal power flow (OPF) is one of the key tools for optimal operation and planning of modern power ...
This paper presents an efficient and reliable evolutionary-based algorithm to solve the Optimal Powe...
Optimal Power Flow (OPF) is one of techniques used to optimize the cost of power plant production wh...
This paper compares the performance of three population-based algorithms including particle swarm op...
An enhanced particle swarm optimization algorithm (PSO) is presented in this work to solve the non-c...
Optimal power ow (OPF) problems are important optimization problems in power systems which aim to mi...
Due to its significance in the operation of power systems, the optimal power flow (OPF) problem has ...
Due to its significance in the operation of power systems, the optimal power flow (OPF) problem has ...
In this paper, a novel, effective meta-heuristic, population-based Hybrid Firefly Particle Swarm Opt...
In this paper, a novel, effective meta-heuristic, population-based Hybrid Firefly Particle Swarm Opt...